Model Risk & AI Validation Analyst

*** This is a hybrid position in the Chicagoland area. Candidates must be able to work onsite as required. This is not a remote position.***

REKRUITD is partnering with a financial services organization seeking a Model Risk & AI Validation Analyst for a full-time, permanent opportunity. This position will support the independent validation and governance of quantitative models, machine learning solutions, and AI systems.

• Independently validate quantitative models, machine learning solutions, and AI systems
• Evaluate model methodology, conceptual soundness, data integrity, assumptions and limitations, implementation accuracy, and model performance
• Perform quantitative testing including back-testing, sensitivity analysis, scenario analysis, benchmarking, and performance testing
• Review model development, methodology, testing, governance, and supporting documentation
• Identify model weaknesses, limitations, and areas requiring remediation
• Provide independent challenge and clearly communicate validation findings to model owners and business stakeholders
• Support model governance, validation reporting, and regulatory review activities
• Track findings and work with stakeholders through remediation

Experience:

• 2–5 years of experience in model validation, model development, model risk management, data science, AI, or machine learning
• Model validation or development experience within banking or financial services
• Experience working with AI/ML and/or quantitative models
• Experience with banking risk models, including areas such as credit, financial forecasting, regulatory compliance, CECL, liquidity, or financial crime
• Knowledge of model validation methodologies including conceptual soundness, model performance, benchmarking, sensitivity analysis, and assumptions/limitations testing
• Strong quantitative, analytical, documentation, and communication skills
• Master's degree or PhD in a quantitative or related discipline preferred